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Data Brew
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Author: Denny Lee, Brooke Wenig, Diana Pfeil; Publisher: Data Brew; Publication Year: N/A. The following video series discusses 3 large topics – transparency, privacy, and bias. First was the idea of transparency in data science – one example is that of a credit score. If you are rejected for a loan, you have a right…
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The Hidden Ethics of Our Personal Data
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Author: Danel Goddemeyer, Dominikus Baur; Publisher: TEDx; Publication Year: N/A. The following TED Talk features a collaborative audience demonstration on collecting data. It makes connections to how easy is it to leave a data trail and how much these algorithms are like magic tricks as we can’t see what’s going on behind the scenes…
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Ethical Data Collection
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Author: Crash Course; Publisher: ClassHook; Publication Year: N/A. The following video provides real-life examples from all different time periods and industries of unethical data collection, which is one of the largest pillars of data ethics. This covers data privacy, transparency, and consent problems both in theoretical and computational statistics (model building, data mining) and experimental…
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Convention 108 and Protocol
Code of Ethics, Diversity, Equity & Inclusion, Legal & Policy, Social Justice, Video, Visualization, White Paperlnbressa
Author: N/A; Publisher: Council of Europe; Publication Year: N/A. The following document was one of the first initiatives in data protection. It was open for signing in January 1981. The most crucial idea of the Convention is that it aimed to guarantee people the right to data protection long before big data became a concern.…
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The Era of Blind Faith in Big Data Must End
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Author: Cathy O’Neil; Publisher: TED Talks; Publication Year: 2017. The following video highlights the dangers of blind trust in algorithmic models. O’Neil suggests that algorithms are much less scientific and objectively truthful than commonly perceived. Instead, they are opinions embedded in code, and we are often “injecting biases into algorithms by choosing what data to…
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How To Solve AI’s Ethical Puzzles
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Author: Cansu Canca; Publisher: TEDx Talks; Publication Year: 2020. The following video discusses how AI and machine learning raise many serious ethical concerns regards many areas and some of those algorithms’ biases manipulate or reinforce discrimination by automatically disqualifying women or rating certain minorities as high-risk. But there is no clear answer or solution on…
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Henrietta Lacks: The ‘Immortal’ Cells That Changed the World – BBC REEL
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Author: Daniel John; Publisher: BBC Reel; Publication Year: 2020. The following video discusses how Henrietta Lacks’ cells were taken without informed consent and then became the foundational cells for innumerable medical research and innovation, and “there is not one person who has not benefitted from her cells.” A quick overview of one of the most…
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Understanding the Ethical Dance of AI and Healthcare
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Author: Ashleigh Kennedy; Publisher: TEDx Talks; Publication Year: 2020. The following video discusses how AI is innovating the healthcare industry, but as the technology develops and the line between humans and machine becomes blurry, ethical issues arise. Human augmentation technology which is intended to re-establish human agency is actually taking control away from humans. As…
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If Data Could Talk: The Ethics of Visualizing Data on Race
Author: Andy Cotgreave; Publisher: Tableau; Publication Year: 2020. The following podcast episode/video features hosts discussing how our data is not race-neutral, and that we as a society are starting to wake up and be more aware of the inequities that hide within the data. Simply put, data is not just data. Every single data point,…
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Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection
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Author: Adriene Hill; Publisher: Crash Course; Publication Year: 2019. The following video provides important background on the context and consequences of data-driven research relative to the foundational elements of statistics. It also provides links to historical instances of data abuse to the current problems with data ethics and privacy. It challenges the reader to ponder…
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